12,871 research outputs found
Treatment with convalescent plasma for influenza A (H5N1) infection [9]
published_or_final_versio
Exploration and Research on the Mixed Mode Curriculum of “Competition, Training and Teaching”
In response to the many problems encountered in the teaching of the “SSM Framework” course, a project-driven hybrid teaching model is proposed. The reform integrates “Competition, Training and Teaching” into one, utilizes online teaching platforms to arrange pre-class activities, carry out interactive teaching in class, and improve post-class practice. In teaching, the roles of teachers and students should be exchanged to fully mobilize students’ learning initiative and cultivate their ability to solve and analyze problems. In the assessment, a process evaluation mechanism is introduced to incorporate project construction into the assessment scope and improve practical application capabilities. The practical results indicate that the application of the new model in curriculum significantly enhances students’ learning interest and practical abilities, which is feasible for promotion
Organizing information on the next generation web - Design and implementation of a new bookmark structure
The next-generation Web will increase the need for a highly organized and ever evolving method to store references to Web objects. These requirements could be realized by the development of a new bookmark structure. This paper endeavors to identify the key requirements of such a bookmark, specifically in relation to Web documents, and sets out a suggested design through which these needs may be accomplished. A prototype developed offers such features as the sharing of bookmarks between users and groups of users. Bookmarks for Web documents in this prototype allow more specific information to be stored such as: URL, the document type, the document title, keywords, a summary, user annotations, date added, date last visited and date last modified. Individuals may access the service from anywhere on the Internet, as long as they have a Java-enabled Web browser
Truncated Cauchy Non-Negative Matrix Factorization
© 1979-2012 IEEE. Non-negative matrix factorization (NMF) minimizes the euclidean distance between the data matrix and its low rank approximation, and it fails when applied to corrupted data because the loss function is sensitive to outliers. In this paper, we propose a Truncated CauchyNMF loss that handle outliers by truncating large errors, and develop a Truncated CauchyNMF to robustly learn the subspace on noisy datasets contaminated by outliers. We theoretically analyze the robustness of Truncated CauchyNMF comparing with the competing models and theoretically prove that Truncated CauchyNMF has a generalization bound which converges at a rate of order where is the sample size. We evaluate Truncated CauchyNMF by image clustering on both simulated and real datasets. The experimental results on the datasets containing gross corruptions validate the effectiveness and robustness of Truncated CauchyNMF for learning robust subspaces
Neutron-rich Chromium Isotope Anomalies in Supernova Nanoparticles
Neutron-rich isotopes with masses near that of iron are produced in Type Ia and II supernovae (SNeIa and SNeII). Traces of such nucleosynthesis are found in primitive meteorites in the form of variations in the isotopic abundance of ^(54)Cr, the most neutron-rich stable isotope of chromium. The hosts of these isotopic anomalies must be presolar grains that condensed in the outflows of SNe, offering the opportunity to study the nucleosynthesis of iron-peak nuclei in ways that complement spectroscopic observations and can inform models of stellar evolution. However, despite almost two decades of extensive search, the carrier of ^(54)Cr anomalies is still unknown, presumably because it is fine grained and is chemically labile. Here, we identify in the primitive meteorite Orgueil the carrier of ^(54)Cr anomalies as nanoparticles (3.6 × solar). Such large enrichments in ^(54)Cr can only be produced in SNe. The mineralogy of the grains supports condensation in the O/Ne-O/C zones of an SNII, although a Type Ia origin cannot be excluded. We suggest that planetary materials incorporated different amounts of these nanoparticles, possibly due to late injection by a nearby SN that also delivered ^(26)Al and ^(60)Fe to the solar system. This idea explains why the relative abundance of ^(54)Cr and other neutron-rich isotopes vary between planets and meteorites. We anticipate that future isotopic studies of the grains identified here will shed new light on the birth of the solar system and the conditions in SNe
Stress Distribution in Mandible Regulated by Bone and Dental Implant Parameters: Part I - Methodology
The complicated inter-relationships between mandibular bone components and dental implants have attracted the attention of many a structural mechanics researcher as well as many a dental practitioner. This paper describes the methodology and analysis techniques employed to enable accurate evaluation of a vast range of the implant and bone parameters. The complex material and geometric properties of the bone and implant are modelled using two-dimensional (2D) triangular and quadrilateral plane strain elements. Assumptions made in the analysis include: (a) 50% osseointegration between bone and implant; (b) linear relationships exist between the stress value and the Young’s moduli of the cancellous and cortical bone at any specific point. In the companion paper (Part II) various bone, implant and loading parameters are evaluated for their influence on the stress distribution within the bone, in particular in the mandible
XGBoostPP: Tree-based Estimation of Point Process Intensity Functions
We propose a novel tree-based ensemble method, named XGBoostPP, to
nonparametrically estimate the intensity of a point process as a function of
covariates. It extends the use of gradient-boosted regression trees (Chen &
Guestrin, 2016) to the point process literature via two carefully designed loss
functions. The first loss is based on the Poisson likelihood, working for
general point processes. The second loss is based on the weighted Poisson
likelihood, where spatially dependent weights are introduced to further improve
the estimation efficiency for clustered processes. An efficient greedy search
algorithm is developed for model estimation, and the effectiveness of the
proposed method is demonstrated through extensive simulation studies and two
real data analyses. In particular, we report that XGBoostPP achieves superior
performance to existing approaches when the dimension of the covariate space is
high, revealing the advantages of tree-based ensemble methods in estimating
complex intensity functions.Comment: 21 pages, 3 figure
Exactly solvable models and ultracold Fermi gases
Exactly solvable models of ultracold Fermi gases are reviewed via their
thermodynamic Bethe Ansatz solution. Analytical and numerical results are
obtained for the thermodynamics and ground state properties of two- and
three-component one-dimensional attractive fermions with population imbalance.
New results for the universal finite temperature corrections are given for the
two-component model. For the three-component model, numerical solution of the
dressed energy equations confirm that the analytical expressions for the
critical fields and the resulting phase diagrams at zero temperature are highly
accurate in the strong coupling regime. The results provide a precise
description of the quantum phases and universal thermodynamics which are
applicable to experiments with cold fermionic atoms confined to one-dimensional
tubes.Comment: based on an invited talk at Statphys24, Cairns (Australia) 2010. 16
pages, 6 figure
First-principles study of the optoelectronic properties and photovoltaic absorber layer efficiency of Cu-based chalcogenides
Cu-based chalcogenides are promising materials for thin-film solar cells with
more than 20% measured cell efficiency. Using first-principles calculations
based on density functional theory, the optoelectronic properties of a group of
Cu-based chalcogenides Cu-II-IV-VI is studied. They are then screened
with the aim of identifying potential absorber materials for photovoltaic
applications. The spectroscopic limited maximum efficiency (SLME) introduced by
Yu and Zunger is used as a metric for the screening. After constructing the
current-voltage curve, the maximum spectroscopy dependent power conversion
efficiency is calculated from the maximum power output. The role of the nature
of the band gap, direct or indirect, and also of the absorptivity of the
studied materials on the maximum theoretical power conversion efficiency is
studied. Our results show that Cu-II-GeSe with II=Cd and Hg, and
Cu-II-SnS with II=Cd and Zn have a higher theoretical efficiency
compared to the materials currently used as absorber layer
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